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Identification of mycoparasitism-related genes against the phytopathogen Sclerotinia sclerotiorum through transcriptome and expression profile analysis in Trichoderma harzianum

Overview of attention for article published in BMC Genomics, March 2014
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Citations

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Readers on

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103 Mendeley
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Title
Identification of mycoparasitism-related genes against the phytopathogen Sclerotinia sclerotiorum through transcriptome and expression profile analysis in Trichoderma harzianum
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-204
Pubmed ID
Authors

Andrei Stecca Steindorff, Marcelo Henrique Soller Ramada, Alexandre Siqueira Guedes Coelho, Robert Neil Gerard Miller, Georgios Joannis Pappas, Cirano José Ulhoa, Eliane Ferreira Noronha

Abstract

The species of T. harzianum are well known for their biocontrol activity against plant pathogens. However, few studies have been conducted to further our understanding of its role as a biological control agent against S. sclerotiorum, a pathogen involved in several crop diseases around the world. In this study, we have used RNA-seq and quantitative real-time PCR (RT-qPCR) techniques in order to explore changes in T. harzianum gene expression during growth on cell wall of S. sclerotiorum (SSCW) or glucose. RT-qPCR was also used to examine genes potentially involved in biocontrol, during confrontation between T. harzianum and S. sclerotiorum.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Ph. D. Student 17 17%
Student > Master 14 14%
Student > Doctoral Student 12 12%
Student > Bachelor 7 7%
Other 20 19%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 54%
Biochemistry, Genetics and Molecular Biology 17 17%
Environmental Science 4 4%
Chemistry 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 4 4%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2014.
All research outputs
#13,405,680
of 22,749,166 outputs
Outputs from BMC Genomics
#4,982
of 10,636 outputs
Outputs of similar age
#120,225
of 242,903 outputs
Outputs of similar age from BMC Genomics
#54
of 146 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,636 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 242,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.